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System and Method For Statistical Shape Model Based Segmentation of Intravascular Ultrasound and Optical Coherence Tomography Images
System and Method For Statistical Shape Model Based Segmentation of Intravascular Ultrasound and Optical Coherence Tomography Images
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机译:基于统计形状模型的血管内超声和光学相干断层扫描图像分割系统和方法
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摘要
A method for segmenting intravascular images includes acquiring a series of digitized images acquired from inside a vessel, each said image comprising a plurality of intensities corresponding to a 2-dimensional grid of pixels, providing a precomputed set of shapes for modeling contours of vessel wall boundaries, wherein a contour can be expressed as a sum of a mean shape and a inner product of shape modes and shape weights, initializing a boundary contour for one of said set of images, initializing said shape weights by projecting a contour into said shape modes, updating said shape weights from differential equations of said shape weights, and computing a contour by summing said mean shape and said inner product of shape modes and updated shape weights.
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